From GeoSentinel data to epidemiological insights: a multidisciplinary effort towards artificial intelligence-supported detection of infectious disease outbreaks.

The article discusses the use of GeoSentinel, a global surveillance and research network, in detecting infectious disease outbreaks. The network collects standardized data from international travelers seeking healthcare and has identified several outbreaks in the past. The article highlights the challenges in outbreak detection and the potential of incorporating artificial intelligence (AI) algorithms to improve detection methods. It emphasizes the importance of multidisciplinary collaboration between data scientists and epidemiologists. The article concludes by discussing the advantages of analyzing GeoSentinel data using AI methods and the potential impact on public health responses and global disease control strategies. [Extracted from the article]